Built by People Who've Run the Forecast Meeting — and Hated What They Saw
Winpathio started in Atlanta in 2023 from a specific observation: the signals that predict deal slippage are in the call transcripts, not the CRM. We built the layer to read them.
We've been the rep whose deal slipped and the manager whose forecast was wrong.
In 2021, Benjamin Clarke was running revenue operations for a growing B2B HealthTech SaaS in Atlanta. His team had Salesforce, Gong, and a weekly forecast call that never quite matched reality. The problem wasn't rep effort. It was that nobody was reading the 60-plus call recordings that accumulated every month. The signals were in those calls — budget hesitations, quiet champions, slipping decision timelines — and they were invisible.
He started building a manual system: flag calls by deal stage, tag signal types, cross-reference against CRM field updates. It worked well enough to recover two at-risk deals in a single quarter. It also took 12 hours a week. That wasn't a sustainable approach — it was a proof of concept for what a machine should be doing.
Winpathio was incorporated in Atlanta, GA in 2023. The goal was narrow by design: build a signal-detection layer that processes every sales call automatically, matches what it hears against pipeline stage expectations, and delivers an actionable alert 3 days before the problem becomes a forecast miss. Not a new CRM. Not another conversation intelligence platform. A specific answer to one specific problem that costs B2B sales teams real money every quarter.
Four principles we won't compromise
Signal over noise
Revenue teams are drowning in data but starving for signal. We are obsessed with extracting the one meaningful pattern from a thousand call minutes. Everything we build reduces cognitive load, not adds to it.
Time is the asset
A warning at 3 days is 100x more valuable than a warning at 0 days. We build for the earlier detection window — not the dashboards you look at after a deal slips, but the alerts you get while you can still do something.
Zero new behavior
Reps shouldn't have to do anything differently. No new data entry. No extra step. The intelligence layer operates entirely on the workflow that already exists — calls are already being recorded; we just listen to them systematically.
Data handled responsibly
Call transcripts contain sensitive commercial conversations. We process them with strict data handling, minimum retention, and clear processing agreements. Sales intelligence doesn't require compromising data responsibility.
The people behind the signal layer
Benjamin spent 9 years in enterprise sales and RevOps roles before founding Winpathio. Most recently led revenue operations at a B2B HealthTech SaaS in Atlanta, where he built the first systematic call-scoring process by hand — then realized it needed to exist as software.
Naomi built NLP and signal processing systems for financial markets before pivoting to B2B sales intelligence. Her background in time-series signal detection is the core architecture behind Winpathio's 3-day early warning model.
Derek was an enterprise AE at two B2B SaaS companies before moving into product. He brings the rep's perspective to every feature decision — if a product change requires reps to do something new, it doesn't ship until it doesn't.
Amara joined from a Revenue Operations consulting background. She runs customer onboarding, signal taxonomy customization, and long-term success programs. She has personally configured Winpathio for 30+ sales teams and knows every integration edge case.
Want to work with us or join the team?
We're always interested in hearing from operators and engineers who care about signal quality. Drop us a line.